Literature review of deep learning research areas

MM Yapıcı, A Tekerek, N Topaloğlu - Gazi Mühendislik Bilimleri …, 2019 - dergipark.org.tr
Deep learning (DL) is a powerful machine learning field that has achieved considerable
success in many research areas. Especially in the last decade, the-state-of-the-art studies …

A new wrapper feature selection method for language-invariant offline signature verification

D Banerjee, B Chatterjee, P Bhowal… - Expert Systems with …, 2021 - Elsevier
Among various biometric systems, an offline signature verification system has been widely
used in all fields such as in banks, educational institutes, legal procedures and, criminal …

Hand gesture recognition with convolution neural networks

F Zhan - 2019 IEEE 20th international conference on …, 2019 - ieeexplore.ieee.org
Hand gestures are the most common forms of communication and have great importance in
our world. They can help in building safe and comfortable user interfaces for a multitude of …

Convolutional neural network based offline signature verification application

MM Yapici, A Tekerek… - … International Congress on …, 2018 - ieeexplore.ieee.org
One of the most important biometric authentication technique is signature. Nowadays, there
are two types of signatures, offline (static) and online (dynamic). Online signatures have …

Deep learning models for classification of brain tumor with magnetic resonance imaging images dataset

LJ Muhammad, I Badi, AA Haruna… - … Intelligence in Oncology …, 2022 - Springer
Brain tumor is known among the most aggressive diseases among adults and children
around the world. It is estimated that every year, more than 11,700 people around the world …

Feature selection for deep neural networks in cyber security applications

A Davis, S Gill, R Wong, S Tayeb - 2020 IEEE international IOT …, 2020 - ieeexplore.ieee.org
To stay ahead of novel attacks, cyber security professionals are developing new software
and systems using machine learning techniques. Neural network architectures improve such …

A study of ensemble methods for cyber security

N Lower, F Zhan - 2020 10th Annual Computing and …, 2020 - ieeexplore.ieee.org
Ensemble methods for machine learning serve to increase the predictive power of
preexisting models by applying a meta-algorithm on top of the underlying workings of one or …

Convolution Neural Network based Hand Gesture Recognition System

S Meshram, R Singh, P Pal… - 2023 Third International …, 2023 - ieeexplore.ieee.org
Strong hand gesture recognition has been essential in the area of human-computer
interaction for a very long time. Due of their intricacy and breadth, these gestures are difficult …

Segregating hazardous waste using deep neural networks in real-time video

D Hua, J Gao, R Mayo, A Smedley… - 2020 10th Annual …, 2020 - ieeexplore.ieee.org
Sustaining a society requires reusing, reducing, and recycling waste. Waste disposal has
always been a problem in developing countries because of inadequate infrastructure. By …

[PDF][PDF] Desain Absensi Mahasiswa Dengan Tanda Tangan Digital Terverifikasi Berbasis Convolutional Neural Network di Masa Pandemi Covid-19

A Abdullah, SA Prakoso, M Taruk - Jurnal Rekayasa Teknologi …, 2022 - researchgate.net
Pandemi Covid-19 telah membawa banyak perubahan dalam pelaksanaan proses
pembelajaran. Sebelum pandemi Covid-19, proses pembelajaran dilaksanakan secara …